Triple
T32988087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Precedence for Canada |
E844002
|
entity |
| Predicate | thirdRankedOffice |
P67587
|
FINISHED |
| Object | prime minister of Canada |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: prime minister of Canada | Statement: [Order of Precedence for Canada, thirdRankedOffice, prime minister of Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdRankedOffice Context triple: [Order of Precedence for Canada, thirdRankedOffice, prime minister of Canada]
-
A.
fourthRankedOffice
Indicates that one office holds the fourth position in a ranking or ordered hierarchy relative to other offices.
-
B.
thirdPlaceRank
chosen
Indicates that an entity holds the third position in a ranking or ordered list relative to others.
-
C.
thirdRankSee
Indicates that an entity occupying a third rank or position observes, notices, or visually perceives another entity.
-
D.
thirdPlaceCandidate
Indicates that the subject is the candidate who finished in third place in a competition, ranking, or election.
-
E.
thirdPlacePresidentialAffiliation
Indicates the political party or affiliation of the candidate who finished in third place in a presidential election.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3494c6f9c8190a255409fce8b1d3b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 1:22 a.m.